Browsing by Author "Ercan, Alperen"

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    Dog Walker Segmentation
    (IEEE, 2022) Ercan, Alperen; Karan, Baris; Çakar, Tuna
    In this study dog walkers were separated into clusters according to walkers' walk habits. Due to the fact that the distributions were non-normal, normalization algorithms were applied before the onset of clustering. After normalizing, K Means algorithm and Gaussian Mixture Models used for finding optimum cluster count. According to these clusters, walkers' consecutive months separated to follow-up their behavioral traits. This part of the study adds value to the project to examine walkers' behaviors closer.